EDITORIAL “I Hear and I Forget, I See and I Remember,
Bibliographic record
Abstract
In this issue of the CJHP, Ackman and Mysak1 describe the integration of second-year pharmacy students into the hospital setting. This mini–clinical rotation was successful in giving the students an early understanding of the role of hospital pharma-cists. The experience was deemed to be positive and valuable for both the students and their preceptors. These findings are not surprising and can be explained by tracing our history back to the birth of professional apprenticeship education in pharmacy in Canada. Pharmacy education began in Ontario in 1868, with an emphasis on a long traditional apprenticeship.2 Conceptually, the learning modules were based on principles that were enunciated by Chinese philosopher and reformer Confucius (551 BC to 479 BC), who stated “I hear and I forget. I see and I remember. I do and I understand. ” Since then, pharmacy education has become more academic, with the complexity of
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.010 | 0.016 |
| Insufficient payload (model declined to judge) | 0.019 | 0.014 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".